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Design of Power System Remote Video Monitoring System Based on RTP Technology

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Advanced Hybrid Information Processing (ADHIP 2023)

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Abstract

Most of the conventional power system remote video monitoring systems are designed based on the SIP principle. In the actual monitoring operation process, there are problems such as poor real-time monitoring and high packet loss rate. In order to solve this problem, RTP technology is introduced and a remote video monitoring system for power system based on RTP technology is designed. Based on the optimized design of the monitoring system hardware, the monitoring system software and software functions are designed. First, the remote video surveillance image of power system is filtered to remove most of the signal noise in the remote video surveillance image. Secondly, the background of power system remote video monitoring is updated to achieve the ideal segmentation effect of video monitoring image. The remote video monitoring module is designed to carry out remote video real-time monitoring of the operating conditions of the power system. The real-time transmission function of remote video image in power system is designed by using RTP technology. According to the system test results, after the proposed monitoring system is applied, with the increase of system running time, its packet loss rate is below 1%, and the real-time performance of remote video monitoring is high.

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Authors and Affiliations

  1. State Grid Huitong Jincai (Beijing) Information Technology Co., Ltd., Beijing, 100031, China

    Liang Yuan

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  1. Liang Yuan
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Correspondence to Liang Yuan .

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Editors and Affiliations

  1. Harbin Engineering University, Harbin, China

    Lin Yun

  2. Harbin Engineering University, Harbin, China

    Jiang Han

  3. Harbin Engineering University, Harbin, China

    Yu Han

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Yuan, L. (2024). Design of Power System Remote Video Monitoring System Based on RTP Technology. In: Yun, L., Han, J., Han, Y. (eds) Advanced Hybrid Information Processing. ADHIP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-031-50549-2_4

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  • DOI: https://doi.org/10.1007/978-3-031-50549-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50548-5

  • Online ISBN: 978-3-031-50549-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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